An Artificial Dendritic Neuron Model Using Radial Basis Functions

Zachary Hutchinson

2023

Abstract

The dendrites of biological neurons are computationally active. They contribute to the expressivity of the neural response. Thus far, dendrites have not seen wide use by the AI community. We propose a dendritic neuron model based on the compartmentalization of non-isopotential dendrites using radial basis functions. We show it is capable of producing Boolean behavior. Our goal is to grow the AI conversation around more complex neuron models.

Paper Citation

in Harvard Style

Hutchinson Z. (2023). An Artificial Dendritic Neuron Model Using Radial Basis Functions. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 776-783. DOI: 10.5220/0011775400003393

in Bibtex Style

@conference{icaart23,
author={Zachary Hutchinson},
title={An Artificial Dendritic Neuron Model Using Radial Basis Functions},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={776-783},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011775400003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - An Artificial Dendritic Neuron Model Using Radial Basis Functions
SN - 978-989-758-623-1
AU - Hutchinson Z.
PY - 2023
SP - 776
EP - 783
DO - 10.5220/0011775400003393